Snap Names AI as the Reason 1,000 People No Longer Have Jobs

The corporate language around AI-driven workforce reductions has, until now, preserved plausible deniability. Companies could cut roles, cite 'efficiency,' and leave the causal chain ambiguous enough that no single employee or journalist could pin the decision to a specific technology. Spiegel closed that gap. By publishing internal metrics — AI generating 65% of Snap's new code — and framing the layoffs as a direct consequence, he created a named precedent where none existed. The executives at Meta, Google, and every mid-tier platform who have been running similar substitutions quietly now…